A-Sub2 is the same as A-Sub1 except that the training
data is augmented with the training data from Semeval-2019
Task 5 HatEval [1]}, a task that identifies hate speech.
It provides 22,240 training examples where 14,057 (65.2%) are not
hate speech. We made the obviously incorrect assumption that tweets that aren't
hate speech would also not be
offensive. We had hoped that doubling the amount of training data
would improve our performance despite our flawed assumption (although it did not).
